Profiling Report

Dataset statistics

Number of variables	13
Number of observations	5570
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	989.4 KiB
Average record size in memory	181.9 B

Variable types

Numeric	12
Categorical	1

Alerts

`Município` has a high cardinality: 5570 distinct values	High cardinality
`CV_HEPatite_B` is highly correlated with `CV_HIB` and 8 other fields	High correlation
`CV_HIB` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`CV_DPT` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`CV_POLIO` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`CV_Pneumo` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`CV_MncC` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`CV_SCR1` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`CV_SCR2` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`CV_VARICELA` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`CV_HEPatite_A` is highly correlated with `CV_HEPatite_B` and 8 other fields	High correlation
`Município` is uniformly distributed	Uniform
`COD` has unique values	Unique
`Município` has unique values	Unique
`CV_BCG` has 326 (5.9%) zeros	Zeros

Reproduction

Analysis started	2022-11-09 00:43:30.167382
Analysis finished	2022-11-09 00:43:50.394813
Duration	20.23 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

COD
Real number (ℝ_≥0)

UNIQUE

Distinct	5570
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	325358.6278

Minimum	110001
Maximum	530010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	110001
5-th percentile	150777.25
Q1	251212.5
median	314627.5
Q3	411918.75
95-th percentile	510729.55
Maximum	530010
Range	420009
Interquartile range (IQR)	160706.25

Descriptive statistics

Standard deviation	98491.03388
Coefficient of variation (CV)	0.3027152977
Kurtosis	-0.5258091553
Mean	325358.6278
Median Absolute Deviation (MAD)	74152.5
Skewness	0.1213411839
Sum	1812247557
Variance	9700483754
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
110001	1	< 0.1%
353970	1	< 0.1%
354040	1	< 0.1%
354030	1	< 0.1%
354025	1	< 0.1%
354020	1	< 0.1%
354010	1	< 0.1%
354000	1	< 0.1%
353990	1	< 0.1%
353980	1	< 0.1%
Other values (5560)	5560	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
110001	1	< 0.1%
110002	1	< 0.1%
110003	1	< 0.1%
110004	1	< 0.1%
110005	1	< 0.1%
110006	1	< 0.1%
110007	1	< 0.1%
110008	1	< 0.1%
110009	1	< 0.1%
110010	1	< 0.1%

Value	Count	Frequency (%)
530010	1	< 0.1%
522230	1	< 0.1%
522220	1	< 0.1%
522205	1	< 0.1%
522200	1	< 0.1%
522190	1	< 0.1%
522185	1	< 0.1%
522180	1	< 0.1%
522170	1	< 0.1%
522160	1	< 0.1%

Município
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	5570
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	467.3 KiB

110001 Alta Floresta D'Oeste	1
353970 Platina	1
354040 Populina	1
354030 Pontes Gestal	1
354025 Pontalinda	1
Other values (5565)	5565

Length

Max length	39
Median length	34
Mean length	18.61059246
Min length	10

Characters and Unicode

Total characters	103661
Distinct characters	80
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5570 ?
Unique (%)	100.0%

Sample

1st row	110001 Alta Floresta D'Oeste
2nd row	110002 Ariquemes
3rd row	110003 Cabixi
4th row	110004 Cacoal
5th row	110005 Cerejeiras

Common Values

Value	Count	Frequency (%)
110001 Alta Floresta D'Oeste	1	< 0.1%
353970 Platina	1	< 0.1%
354040 Populina	1	< 0.1%
354030 Pontes Gestal	1	< 0.1%
354025 Pontalinda	1	< 0.1%
354020 Pontal	1	< 0.1%
354010 Pongaí	1	< 0.1%
354000 Pompéia	1	< 0.1%
353990 Poloni	1	< 0.1%
353980 Poá	1	< 0.1%
Other values (5560)	5560	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
do	756	4.8%
são	364	2.3%
de	302	1.9%
santa	161	1.0%
da	143	0.9%
nova	135	0.9%
sul	115	0.7%
rio	94	0.6%
dos	73	0.5%
josé	70	0.4%
Other values (9533)	13640	86.0%

Most occurring characters

Value	Count	Frequency (%)
	10283	9.9%
a	8791	8.5%
0	8160	7.9%
o	5961	5.8%
1	4774	4.6%
2	4591	4.4%
r	4532	4.4%
i	4388	4.2%
3	4106	4.0%
e	3764	3.6%
Other values (70)	44311	42.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50872	49.1%
Decimal Number	33420	32.2%
Space Separator	10283	9.9%
Uppercase Letter	9010	8.7%
Other Punctuation	47	< 0.1%
Dash Punctuation	29	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	8791	17.3%
o	5961	11.7%
r	4532	8.9%
i	4388	8.6%
e	3764	7.4%
n	3196	6.3%
d	2553	5.0%
s	2423	4.8%
t	2293	4.5%
u	2155	4.2%
Other values (27)	10816	21.3%

Uppercase Letter

Value	Count	Frequency (%)
S	1137	12.6%
C	970	10.8%
P	911	10.1%
M	721	8.0%
A	698	7.7%
B	602	6.7%
I	475	5.3%
J	405	4.5%
G	391	4.3%
R	367	4.1%
Other values (20)	2333	25.9%

Decimal Number

Value	Count	Frequency (%)
0	8160	24.4%
1	4774	14.3%
2	4591	13.7%
3	4106	12.3%
5	3654	10.9%
4	2781	8.3%
7	1470	4.4%
6	1422	4.3%
9	1382	4.1%
8	1080	3.2%

Space Separator

Value	Count	Frequency (%)
	10283	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	47	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	59882	57.8%
Common	43779	42.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	8791	14.7%
o	5961	10.0%
r	4532	7.6%
i	4388	7.3%
e	3764	6.3%
n	3196	5.3%
d	2553	4.3%
s	2423	4.0%
t	2293	3.8%
u	2155	3.6%
Other values (57)	19826	33.1%

Common

Value	Count	Frequency (%)
	10283	23.5%
0	8160	18.6%
1	4774	10.9%
2	4591	10.5%
3	4106	9.4%
5	3654	8.3%
4	2781	6.4%
7	1470	3.4%
6	1422	3.2%
9	1382	3.2%
Other values (3)	1156	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100822	97.3%
None	2839	2.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	10283	10.2%
a	8791	8.7%
0	8160	8.1%
o	5961	5.9%
1	4774	4.7%
2	4591	4.6%
r	4532	4.5%
i	4388	4.4%
3	4106	4.1%
e	3764	3.7%
Other values (54)	41472	41.1%

None

Value	Count	Frequency (%)
ã	794	28.0%
á	393	13.8%
í	336	11.8%
é	317	11.2%
ç	268	9.4%
ó	243	8.6%
â	161	5.7%
ú	101	3.6%
ô	71	2.5%
ê	70	2.5%
Other values (6)	85	3.0%

CV_BCG
Real number (ℝ_≥0)

ZEROS

Distinct	3664
Distinct (%)	65.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59.63224417

Minimum	0
Maximum	701.31
Zeros	326
Zeros (%)	5.9%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	22.04
median	59.215
Q3	90.91
95-th percentile	122.0005
Maximum	701.31
Range	701.31
Interquartile range (IQR)	68.87

Descriptive statistics

Standard deviation	44.36443295
Coefficient of variation (CV)	0.7439671871
Kurtosis	16.05381678
Mean	59.63224417
Median Absolute Deviation (MAD)	34.215
Skewness	1.753687951
Sum	332151.6
Variance	1968.202911
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	326	5.9%
100	47	0.8%
50	20	0.4%
33.33	16	0.3%
25	14	0.3%
66.67	12	0.2%
14.29	11	0.2%
87.5	11	0.2%
12.5	11	0.2%
60	10	0.2%
Other values (3654)	5092	91.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	326	5.9%
0.2	1	< 0.1%
0.21	1	< 0.1%
0.24	1	< 0.1%
0.28	1	< 0.1%
0.29	1	< 0.1%
0.34	1	< 0.1%
0.4	1	< 0.1%
0.42	1	< 0.1%
0.43	1	< 0.1%

Value	Count	Frequency (%)
701.31	1	< 0.1%
630.22	1	< 0.1%
469.31	1	< 0.1%
437.83	1	< 0.1%
409.2	1	< 0.1%
334.31	1	< 0.1%
326.92	1	< 0.1%
316.46	1	< 0.1%
309.76	1	< 0.1%
284.23	1	< 0.1%

CV_HEPatite_B
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3570
Distinct (%)	64.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.80218851

Minimum	0
Maximum	510
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	40.3065
Q1	74.58
median	94.58
Q3	112
95-th percentile	143.5405
Maximum	510
Range	510
Interquartile range (IQR)	37.42

Descriptive statistics

Standard deviation	32.06833416
Coefficient of variation (CV)	0.3418719186
Kurtosis	6.924718488
Mean	93.80218851
Median Absolute Deviation (MAD)	18.46
Skewness	0.7275547686
Sum	522478.19
Variance	1028.378056
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	85	1.5%
150	18	0.3%
125	15	0.3%
116.67	15	0.3%
120	14	0.3%
112.5	14	0.3%
66.67	13	0.2%
109.09	13	0.2%
133.33	13	0.2%
128.57	12	0.2%
Other values (3560)	5358	96.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
0.3	1	< 0.1%
0.75	1	< 0.1%
3.32	1	< 0.1%
4.76	1	< 0.1%
4.78	1	< 0.1%
4.84	1	< 0.1%
5.42	1	< 0.1%
6.13	1	< 0.1%
7.09	1	< 0.1%

Value	Count	Frequency (%)
510	1	< 0.1%
338.46	1	< 0.1%
300	1	< 0.1%
266.4	1	< 0.1%
257.14	2	< 0.1%
253.85	1	< 0.1%
250	1	< 0.1%
244.83	1	< 0.1%
225	3	0.1%
221.74	1	< 0.1%

CV_HIB
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3592
Distinct (%)	64.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.78474686

Minimum	0
Maximum	510
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	40.239
Q1	74.3875
median	94.535
Q3	112.025
95-th percentile	143.6175
Maximum	510
Range	510
Interquartile range (IQR)	37.6375

Descriptive statistics

Standard deviation	32.12515672
Coefficient of variation (CV)	0.3425413812
Kurtosis	6.830354754
Mean	93.78474686
Median Absolute Deviation (MAD)	18.545
Skewness	0.7225574621
Sum	522381.04
Variance	1032.025694
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	84	1.5%
150	18	0.3%
120	17	0.3%
66.67	15	0.3%
125	14	0.3%
112.5	14	0.3%
116.67	13	0.2%
133.33	12	0.2%
83.33	12	0.2%
88.89	12	0.2%
Other values (3582)	5359	96.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
0.3	1	< 0.1%
0.75	1	< 0.1%
2.97	1	< 0.1%
4.76	1	< 0.1%
4.78	1	< 0.1%
4.84	1	< 0.1%
5.42	1	< 0.1%
6.13	1	< 0.1%
7.09	1	< 0.1%

Value	Count	Frequency (%)
510	1	< 0.1%
330.77	1	< 0.1%
300	1	< 0.1%
266.73	1	< 0.1%
257.14	2	< 0.1%
253.85	1	< 0.1%
250	1	< 0.1%
244.83	1	< 0.1%
241.67	1	< 0.1%
225	2	< 0.1%

CV_DPT
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3639
Distinct (%)	65.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.9977684

Minimum	0
Maximum	510
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	40.323
Q1	74.8425
median	94.655
Q3	112.155
95-th percentile	143.6455
Maximum	510
Range	510
Interquartile range (IQR)	37.3125

Descriptive statistics

Standard deviation	32.10889569
Coefficient of variation (CV)	0.3415921063
Kurtosis	6.834642154
Mean	93.9977684
Median Absolute Deviation (MAD)	18.52
Skewness	0.7223296629
Sum	523567.57
Variance	1030.981183
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	88	1.6%
120	18	0.3%
150	17	0.3%
128.57	15	0.3%
125	15	0.3%
66.67	15	0.3%
116.67	15	0.3%
133.33	14	0.3%
112.5	14	0.3%
114.29	12	0.2%
Other values (3629)	5347	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
0.3	1	< 0.1%
0.75	1	< 0.1%
3.32	1	< 0.1%
4.76	1	< 0.1%
4.78	1	< 0.1%
4.84	1	< 0.1%
5.42	1	< 0.1%
6.13	1	< 0.1%
7.09	1	< 0.1%

Value	Count	Frequency (%)
510	1	< 0.1%
330.77	1	< 0.1%
300	1	< 0.1%
267.73	1	< 0.1%
257.14	2	< 0.1%
253.85	1	< 0.1%
250	1	< 0.1%
244.83	1	< 0.1%
241.67	1	< 0.1%
225	2	< 0.1%

CV_POLIO
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3473
Distinct (%)	62.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91.73294434

Minimum	0
Maximum	500
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	44.4235
Q1	75.8425
median	92.34
Q3	106.935
95-th percentile	134.5345
Maximum	500
Range	500
Interquartile range (IQR)	31.0925

Descriptive statistics

Standard deviation	28.39977273
Coefficient of variation (CV)	0.3095918586
Kurtosis	12.71882021
Mean	91.73294434
Median Absolute Deviation (MAD)	15.515
Skewness	1.084955645
Sum	510952.5
Variance	806.5470913
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	113	2.0%
88.89	17	0.3%
66.67	16	0.3%
116.67	15	0.3%
90	15	0.3%
133.33	14	0.3%
120	14	0.3%
125	13	0.2%
128.57	13	0.2%
111.11	12	0.2%
Other values (3463)	5328	95.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	0.1%
0.59	1	< 0.1%
1.13	1	< 0.1%
4.76	1	< 0.1%
5.08	1	< 0.1%
5.22	1	< 0.1%
5.36	1	< 0.1%
5.93	1	< 0.1%
7.14	1	< 0.1%
7.19	1	< 0.1%

Value	Count	Frequency (%)
500	1	< 0.1%
423.08	1	< 0.1%
291.43	1	< 0.1%
262.16	1	< 0.1%
257.14	1	< 0.1%
250	1	< 0.1%
246.43	1	< 0.1%
243.75	1	< 0.1%
232	1	< 0.1%
231.03	1	< 0.1%

CV_Pneumo
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3400
Distinct (%)	61.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	95.53718851

Minimum	0
Maximum	440
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	50.197
Q1	81.25
median	96.295
Q3	109.91
95-th percentile	136.2835
Maximum	440
Range	440
Interquartile range (IQR)	28.66

Descriptive statistics

Standard deviation	27.26761444
Coefficient of variation (CV)	0.2854136161
Kurtosis	10.67271196
Mean	95.53718851
Median Absolute Deviation (MAD)	14.3
Skewness	0.8332290648
Sum	532142.14
Variance	743.5227973
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	112	2.0%
111.11	22	0.4%
125	20	0.4%
120	18	0.3%
133.33	16	0.3%
112.5	14	0.3%
150	14	0.3%
80	12	0.2%
75	12	0.2%
87.5	12	0.2%
Other values (3390)	5318	95.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
0.75	1	< 0.1%
4.75	1	< 0.1%
5.54	1	< 0.1%
5.65	1	< 0.1%
6.21	1	< 0.1%
6.44	1	< 0.1%
6.96	1	< 0.1%
7.06	1	< 0.1%
8.48	1	< 0.1%

Value	Count	Frequency (%)
440	1	< 0.1%
430.77	1	< 0.1%
300	1	< 0.1%
280.63	1	< 0.1%
237.5	1	< 0.1%
235	1	< 0.1%
228.57	2	< 0.1%
212.82	1	< 0.1%
212	1	< 0.1%
206.25	1	< 0.1%

CV_MncC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3417
Distinct (%)	61.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.35078456

Minimum	0
Maximum	430
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	47.8775
Q1	78.59
median	94.12
Q3	107.55
95-th percentile	134.7305
Maximum	430
Range	430
Interquartile range (IQR)	28.96

Descriptive statistics

Standard deviation	27.499909
Coefficient of variation (CV)	0.294586801
Kurtosis	10.99428273
Mean	93.35078456
Median Absolute Deviation (MAD)	14.495
Skewness	0.9682587377
Sum	519963.87
Variance	756.2449949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	111	2.0%
88.89	18	0.3%
133.33	18	0.3%
108.33	16	0.3%
83.33	16	0.3%
112.5	14	0.3%
66.67	14	0.3%
120	14	0.3%
110	13	0.2%
116.67	12	0.2%
Other values (3407)	5324	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	0.1%
0.3	1	< 0.1%
0.75	1	< 0.1%
3.26	1	< 0.1%
3.57	1	< 0.1%
5.29	1	< 0.1%
5.76	1	< 0.1%
6.06	1	< 0.1%
6.63	1	< 0.1%
7.64	1	< 0.1%

Value	Count	Frequency (%)
430	1	< 0.1%
423.08	1	< 0.1%
350	1	< 0.1%
320	1	< 0.1%
263.59	1	< 0.1%
228.57	1	< 0.1%
225	1	< 0.1%
215.38	1	< 0.1%
212	1	< 0.1%
210.71	1	< 0.1%

CV_SCR1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3538
Distinct (%)	63.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.74959425

Minimum	0
Maximum	341.67
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	45.2455
Q1	77.5775
median	95.035
Q3	109.52
95-th percentile	137.5
Maximum	341.67
Range	341.67
Interquartile range (IQR)	31.9425

Descriptive statistics

Standard deviation	29.0318525
Coefficient of variation (CV)	0.3096744336
Kurtosis	4.270358906
Mean	93.74959425
Median Absolute Deviation (MAD)	15.885
Skewness	0.546428078
Sum	522185.24
Variance	842.8484596
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	106	1.9%
114.29	19	0.3%
150	19	0.3%
125	17	0.3%
116.67	17	0.3%
91.67	16	0.3%
66.67	16	0.3%
120	15	0.3%
133.33	14	0.3%
75	13	0.2%
Other values (3528)	5318	95.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	0.1%
1.37	1	< 0.1%
2.67	1	< 0.1%
3.39	1	< 0.1%
4.27	1	< 0.1%
4.39	1	< 0.1%
4.56	1	< 0.1%
6.89	1	< 0.1%
7.63	1	< 0.1%
8.25	1	< 0.1%

Value	Count	Frequency (%)
341.67	1	< 0.1%
316.67	1	< 0.1%
284.21	1	< 0.1%
277.27	1	< 0.1%
275	1	< 0.1%
273.08	1	< 0.1%
269.23	1	< 0.1%
251.98	1	< 0.1%
250	2	< 0.1%
242.42	1	< 0.1%

CV_SCR2
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3732
Distinct (%)	67.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.77722442

Minimum	0
Maximum	525
Zeros	38
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	20.51
Q1	53.5
median	76.13
Q3	96.245
95-th percentile	128.4355
Maximum	525
Range	525
Interquartile range (IQR)	42.745

Descriptive statistics

Standard deviation	33.79979589
Coefficient of variation (CV)	0.4460416194
Kurtosis	6.924374083
Mean	75.77722442
Median Absolute Deviation (MAD)	21.26
Skewness	0.792160371
Sum	422079.14
Variance	1142.426202
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	73	1.3%
0	38	0.7%
50	34	0.6%
75	16	0.3%
114.29	14	0.3%
80	14	0.3%
120	14	0.3%
66.67	14	0.3%
85.71	13	0.2%
60	13	0.2%
Other values (3722)	5327	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38	0.7%
0.44	1	< 0.1%
0.68	1	< 0.1%
1.39	1	< 0.1%
1.57	1	< 0.1%
1.69	1	< 0.1%
1.96	1	< 0.1%
2.13	1	< 0.1%
2.14	1	< 0.1%
2.15	1	< 0.1%

Value	Count	Frequency (%)
525	1	< 0.1%
346.15	1	< 0.1%
272.73	1	< 0.1%
250	1	< 0.1%
240	1	< 0.1%
229.41	1	< 0.1%
225	1	< 0.1%
223.33	1	< 0.1%
216.67	1	< 0.1%
214.29	1	< 0.1%

CV_VARICELA
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3629
Distinct (%)	65.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88.3534219

Minimum	0
Maximum	325
Zeros	9
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	36.8845
Q1	69.175
median	88.45
Q3	105.88
95-th percentile	138.89
Maximum	325
Range	325
Interquartile range (IQR)	36.705

Descriptive statistics

Standard deviation	31.5377524
Coefficient of variation (CV)	0.3569499825
Kurtosis	2.784775776
Mean	88.3534219
Median Absolute Deviation (MAD)	18.305
Skewness	0.5944701833
Sum	492128.56
Variance	994.6298266
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	74	1.3%
80	20	0.4%
85.71	19	0.3%
110	15	0.3%
83.33	15	0.3%
120	14	0.3%
66.67	13	0.2%
116.67	13	0.2%
125	12	0.2%
87.5	12	0.2%
Other values (3619)	5363	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	0.2%
0.33	1	< 0.1%
2.83	1	< 0.1%
4.67	1	< 0.1%
4.76	1	< 0.1%
4.88	1	< 0.1%
5.53	1	< 0.1%
5.56	1	< 0.1%
5.95	1	< 0.1%
6.06	1	< 0.1%

Value	Count	Frequency (%)
325	1	< 0.1%
296.15	1	< 0.1%
282.5	1	< 0.1%
270.59	1	< 0.1%
266.67	1	< 0.1%
263.64	1	< 0.1%
254.55	1	< 0.1%
250	1	< 0.1%
241.18	1	< 0.1%
234.16	1	< 0.1%

CV_HEPatite_A
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3582
Distinct (%)	64.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.94414004

Minimum	0
Maximum	375
Zeros	8
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.6 KiB

Quantile statistics

Minimum	0
5-th percentile	39.108
Q1	72.625
median	91.215
Q3	106.85
95-th percentile	136.36
Maximum	375
Range	375
Interquartile range (IQR)	34.225

Descriptive statistics

Standard deviation	30.47236068
Coefficient of variation (CV)	0.3387920621
Kurtosis	5.20248621
Mean	89.94414004
Median Absolute Deviation (MAD)	17.105
Skewness	0.6250970379
Sum	500988.86
Variance	928.5647653
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	104	1.9%
125	17	0.3%
120	17	0.3%
80	17	0.3%
114.29	15	0.3%
118.18	14	0.3%
107.69	13	0.2%
87.5	13	0.2%
50	12	0.2%
150	12	0.2%
Other values (3572)	5336	95.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	0.1%
0.33	1	< 0.1%
0.67	1	< 0.1%
0.68	1	< 0.1%
1.22	1	< 0.1%
2.67	1	< 0.1%
3.39	1	< 0.1%
4.56	1	< 0.1%
4.76	1	< 0.1%
5.38	1	< 0.1%

Value	Count	Frequency (%)
375	1	< 0.1%
338.46	1	< 0.1%
336.36	1	< 0.1%
325	1	< 0.1%
308.33	1	< 0.1%
286.67	1	< 0.1%
254.17	1	< 0.1%
241.67	1	< 0.1%
241.18	1	< 0.1%
226.67	1	< 0.1%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	COD	Município	CV_BCG	CV_HEPatite_B	CV_HIB	CV_DPT	CV_POLIO	CV_Pneumo	CV_MncC	CV_SCR1	CV_SCR2	CV_VARICELA	CV_HEPatite_A
0	110001	110001 Alta Floresta D'Oeste	86.49	112.01	112.01	112.31	104.80	108.71	105.71	100.82	79.40	91.21	95.60
1	110002	110002 Ariquemes	102.06	104.45	104.58	104.58	97.28	100.20	95.36	92.11	73.00	82.88	86.09
2	110003	110003 Cabixi	0.00	126.09	126.09	127.54	120.29	117.39	107.25	105.13	87.18	92.31	87.18
3	110004	110004 Cacoal	104.83	103.40	103.47	103.47	91.85	96.45	93.21	105.41	60.06	87.56	91.37
4	110005	110005 Cerejeiras	69.52	109.29	109.29	109.67	108.55	111.90	106.69	112.88	100.43	106.01	109.01
5	110006	110006 Colorado do Oeste	16.75	124.63	125.62	125.12	112.81	118.72	115.27	110.33	98.59	94.84	104.69
6	110007	110007 Corumbiara	21.50	132.71	132.71	132.71	135.51	114.95	119.63	114.17	77.95	97.64	101.57
7	110008	110008 Costa Marques	83.68	115.26	115.26	115.26	107.37	114.21	107.89	90.75	96.04	94.27	99.56
8	110009	110009 Espigão D'Oeste	88.96	96.18	96.18	96.18	84.50	99.58	94.48	84.16	58.37	89.59	89.37
9	110010	110010 Guajará-Mirim	50.58	53.50	53.50	53.61	50.93	57.11	56.18	54.59	39.20	49.29	49.42

Last rows

	COD	Município	CV_BCG	CV_HEPatite_B	CV_HIB	CV_DPT	CV_POLIO	CV_Pneumo	CV_MncC	CV_SCR1	CV_SCR2	CV_VARICELA	CV_HEPatite_A
5560	522160	522160 Uruaçu	96.23	67.74	67.74	67.74	80.19	85.66	78.30	72.59	56.72	66.90	74.83
5561	522170	522170 Uruana	32.59	42.96	42.96	42.96	51.11	65.19	59.26	60.93	61.59	60.93	62.91
5562	522180	522180 Urutaí	70.83	129.17	129.17	129.17	125.00	133.33	91.67	275.00	216.67	216.67	308.33
5563	522185	522185 Valparaíso de Goiás	44.15	68.44	68.44	68.72	68.81	76.31	73.12	62.48	60.02	58.61	67.85
5564	522190	522190 Varjão	113.79	244.83	244.83	244.83	231.03	155.17	186.21	223.33	196.67	220.00	203.33
5565	522200	522200 Vianópolis	105.81	107.56	106.98	106.98	122.67	129.07	124.42	117.95	85.13	85.64	113.33
5566	522205	522205 Vicentinópolis	51.08	91.37	91.37	91.37	77.70	74.10	74.10	66.97	69.72	69.72	81.65
5567	522220	522220 Vila Boa	45.10	131.37	131.37	131.37	123.53	101.96	115.69	142.86	89.80	112.24	124.49
5568	522230	522230 Vila Propício	41.51	90.57	90.57	90.57	88.68	122.64	118.87	80.60	73.13	73.13	83.58
5569	530010	530010 Brasília	105.15	100.80	101.27	101.36	92.30	96.98	94.00	84.40	72.56	82.04	85.27

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Interactions

Correlations

Auto

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows